Our story

We believe AI should do the work, not describe it.

KAIRO started from a frustration. Every AI tool we tried was brilliant at reasoning and useless at acting. We built KAIRO to close that gap.

2026 Founded

12,000+ Teams worldwide

2.4B+ API calls served daily

18ms Average latency

99.97% Uptime last 12 months

4 Team members (growing)

The team

Built by people who shipped AI at scale

Elena Vasquez

CEO & Co-founder

10 years building AI systems at OpenAI and Anthropic. Elena led the team that shipped GPT-3's production API and RLHF fine-tuning infrastructure. She started KAIRO after seeing the same problem over and over: AI that could reason but couldn't act.

Thomas Reinholt

CTO & Co-founder

Previously led infrastructure at Stripe, scaling payment processing to 500M+ transactions per day. Thomas designed KAIRO's multi-region inference architecture from day one — built to never be the bottleneck in your pipeline.

Yuki Tanaka

Head of Product

Designer-turned-PM obsessed with AI UX. Yuki spent five years making complex ML systems accessible at Figma and Linear before joining KAIRO to build the Workflow Builder — the product that finally makes AI automation approachable for non-engineers.

Ade Okonkwo

Head of Research

PhD in Machine Learning from MIT. Ade's dissertation on context-efficient transformer architectures became the foundation for KAIRO's Context Engine. Previously at DeepMind working on multi-agent reinforcement learning.

What we believe

Our principles

Context over commands

AI that truly understands your business will always outperform AI that's told what to do step by step.

Execution, not suggestions

The world has enough AI tools that tell you what to do. We build AI that does it.

Engineers deserve better tools

The developers building the future shouldn't be wrestling with undocumented APIs and rate-limited sandboxes.

Transparency compounds trust

Every AI decision in KAIRO is explainable and auditable. Trust requires evidence.